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Self-Enhancement Diminished
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AI
DOI：10.1037/xge0000105.png)
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Abstract
En 中文
Self-enhancement is a positive bias in self-perception, which may imply error. However, conventional measures of self-enhancement are difference scores that do not distinguish a positive bias from a self-enhancement error, that is, they fail to identify those individuals who hold an irrationally or inaccurately positive view of themselves. We propose 2 new measures to separate error from bias. In the domain of personality judgment, we estimate a defensible bias and an enhancement error from individuals' actual and perceived similarity with others. In the domain of performance, we adapt a decision-theoretic framework to distinguish those who falsely believe to be better than average from those who actually are better. We illustrate the properties of these measures in 3 empirical studies and computer simulations. Implausibly high majorities of people consider themselves to be above average on various dimensions.
Keywords:
self-enhancement
accuracy
judgment and decision-making
measurement
Journal
J
IF:
3.5
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2.9K
Citations:
1.6W